{"id":"https://openalex.org/W2165515835","doi":"https://doi.org/10.14778/1687627.1687709","title":"Graph clustering based on structural/attribute similarities","display_name":"Graph clustering based on structural/attribute similarities","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W2165515835","doi":"https://doi.org/10.14778/1687627.1687709","mag":"2165515835"},"language":"en","primary_location":{"id":"doi:10.14778/1687627.1687709","is_oa":false,"landing_page_url":"https://doi.org/10.14778/1687627.1687709","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101699512","display_name":"Yang Zhou","orcid":"https://orcid.org/0000-0003-1334-7495"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Zhou","raw_affiliation_strings":["The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101984697","display_name":"Hong Cheng","orcid":"https://orcid.org/0000-0002-4673-2587"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Cheng","raw_affiliation_strings":["The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075642293","display_name":"Jeffrey Xu Yu","orcid":"https://orcid.org/0000-0002-9738-827X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jeffrey Xu Yu","raw_affiliation_strings":["The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101699512"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":25.8121,"has_fulltext":false,"cited_by_count":876,"citation_normalized_percentile":{"value":0.99773465,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"2","issue":"1","first_page":"718","last_page":"729"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7232000827789307},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.5197039246559143},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.512206494808197},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47331321239471436},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.426379919052124},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.4252406358718872},{"id":"https://openalex.org/keywords/strength-of-a-graph","display_name":"Strength of a graph","score":0.4122546911239624},{"id":"https://openalex.org/keywords/null-graph","display_name":"Null graph","score":0.4120488166809082},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3373354971408844},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33617889881134033},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.31839635968208313},{"id":"https://openalex.org/keywords/voltage-graph","display_name":"Voltage graph","score":0.2883937358856201},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21159493923187256}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7232000827789307},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.5197039246559143},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.512206494808197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47331321239471436},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.426379919052124},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.4252406358718872},{"id":"https://openalex.org/C19332903","wikidata":"https://www.wikidata.org/wiki/Q7623247","display_name":"Strength of a graph","level":5,"score":0.4122546911239624},{"id":"https://openalex.org/C17169500","wikidata":"https://www.wikidata.org/wiki/Q3033506","display_name":"Null graph","level":5,"score":0.4120488166809082},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3373354971408844},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33617889881134033},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.31839635968208313},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.2883937358856201},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21159493923187256}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.14778/1687627.1687709","is_oa":false,"landing_page_url":"https://doi.org/10.14778/1687627.1687709","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.151.8320","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.151.8320","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.vldb.org/pvldb/2/vldb09-175.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6100000143051147,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322170","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86"},{"id":"https://openalex.org/F4320322942","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W87092222","https://openalex.org/W608933645","https://openalex.org/W1522895503","https://openalex.org/W1575476631","https://openalex.org/W1660133578","https://openalex.org/W1977496278","https://openalex.org/W1988515336","https://openalex.org/W1989946714","https://openalex.org/W1997219719","https://openalex.org/W2020423193","https://openalex.org/W2033590892","https://openalex.org/W2047205327","https://openalex.org/W2095293504","https://openalex.org/W2107743791","https://openalex.org/W2108781142","https://openalex.org/W2112247328","https://openalex.org/W2115665694","https://openalex.org/W2117831564","https://openalex.org/W2121947440","https://openalex.org/W2125580539","https://openalex.org/W2127765405","https://openalex.org/W2133299088","https://openalex.org/W2134008243","https://openalex.org/W2155640700","https://openalex.org/W2168175183","https://openalex.org/W4233135949"],"related_works":["https://openalex.org/W2014355235","https://openalex.org/W1985260677","https://openalex.org/W2065459306","https://openalex.org/W2793949464","https://openalex.org/W153309283","https://openalex.org/W2018695296","https://openalex.org/W4379539820","https://openalex.org/W2278094798","https://openalex.org/W2182235028","https://openalex.org/W2157759636"],"abstract_inverted_index":{"The":[0],"goal":[1],"of":[2,124,126,148],"graph":[3,12,44,72,94,155],"clustering":[4,28,45,73,156],"is":[5,117,134,140],"to":[6,119,136],"partition":[7],"vertices":[8],"in":[9,38],"a":[10,39,70,85,92,106],"large":[11,40,93],"into":[13,98],"different":[14],"clusters":[15,100],"based":[16,77],"on":[17,49,78],"various":[18],"criteria":[19],"such":[20],"as":[21],"vertex":[22,59],"connectivity":[23],"or":[24],"neighborhood":[25],"similarity.":[26,131],"Graph":[27],"techniques":[29],"are":[30,62],"very":[31],"useful":[32],"for":[33,53],"detecting":[34],"densely":[35,107],"connected":[36,108],"groups":[37],"graph.":[41],"Many":[42],"existing":[43],"methods":[46],"mainly":[47],"focus":[48],"the":[50,58,122,146,153],"topological":[51],"structure":[52],"clustering,":[54],"but":[55],"largely":[56],"ignore":[57],"properties":[60],"which":[61],"often":[63],"heterogenous.":[64],"In":[65],"this":[66],"paper,":[67],"we":[68],"propose":[69],"novel":[71],"algorithm,":[74],"SA-Cluster":[75,139,149],",":[76],"both":[79],"structural":[80,127],"and":[81,129,157],"attribute":[82,112,130],"similarities":[83],"through":[84,150],"unified":[86],"distance":[87],"measure.":[88],"Our":[89],"method":[90,116],"partitions":[91],"associated":[95],"with":[96,110,152],"attributes":[97],"k":[99],"so":[101],"that":[102,138],"each":[103],"cluster":[104],"contains":[105],"subgraph":[109],"homogeneous":[111],"values.":[113],"An":[114],"effective":[115],"proposed":[118],"automatically":[120],"learn":[121],"degree":[123],"contributions":[125],"similarity":[128],"Theoretical":[132],"analysis":[133],"provided":[135],"show":[137],"converging.":[141],"Extensive":[142],"experimental":[143],"results":[144],"demonstrate":[145],"effectiveness":[147],"comparison":[151],"state-of-the-art":[154],"summarization":[158],"methods.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":37},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":43},{"year":2022,"cited_by_count":38},{"year":2021,"cited_by_count":69},{"year":2020,"cited_by_count":82},{"year":2019,"cited_by_count":90},{"year":2018,"cited_by_count":56},{"year":2017,"cited_by_count":75},{"year":2016,"cited_by_count":66},{"year":2015,"cited_by_count":69},{"year":2014,"cited_by_count":56},{"year":2013,"cited_by_count":60},{"year":2012,"cited_by_count":62}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}